Vedhas Pandit

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Björn SchullerProfessor of AI, Imperial College London & University of Augsburg & CSO, audEERINGVerified email at imperial.ac.uk
Kun Qian 钱昆 (Prof. Dr.-Ing., SMIEEE)Professor, Beijing Institute of TechnologyVerified email at bit.edu.cn
Zixing ZhangHuawei Technologies Research & Development (UK) LtdVerified email at tum.de
Zhao RenLeibniz Universität Hannover & University of AugsburgVerified email at l3s.de
Nicholas CumminsKing's College LondonVerified email at kcl.ac.uk
Jing HanUniversity of CambridgeVerified email at cam.ac.uk
Werner HemmertProfessor, Department of Electrical and Computer Engineering, Technical University of MunichVerified email at tum.de
Kaustuv Kanti GanguliAssociate Professor at Zayed University, UAEVerified email at zu.ac.ae
Jie ShenDepartment of Computing, Imperial College LondonVerified email at doc.ic.ac.uk
Yannis PanagakisAssociate Professor, National and Kapodistrian University of AthensVerified email at di.uoa.gr
Jean KossaifiSenior Research Scientist at NVIDIAVerified email at nvidia.com
Maja PanticProfessor, Imperial College London / AI Scientific Research Lead, Facebook LondonVerified email at imperial.ac.uk
Fabien RingevalAssociate Professor, Université Grenoble Alpes, LIG, FranceVerified email at imag.fr
Robert WaleckiSenior Research Scientist, Babylon HealthVerified email at babylonhealth.com
Antoine ToisoulResearch Scientist at Facebook AI Applied Research (FAIAR)Verified email at fb.com
Kam StarSerious Games InstituteVerified email at playgen.com
Alice BairdUniversity of AugsburgVerified email at informatik.uni-augsburg.de
Shahin AmiriparianTechnische Universität München, Universität AugsburgVerified email at tum.de
Vignesh IshwarMusic Technology Group - Universitat de Pompeu Fabra, BarcelonaVerified email at upf.edu
Hema A MurthyProfessor of Computer Science and Engineering, IIT MadrasVerified email at cse.iitm.ac.in

Vedhas Pandit

University of Augsburg

Verified email at informatik.uni-augsburg.de - Homepage

affect (emotion) recognition explainable AI music acoustic scene classification digital logic machine learning


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SEWA DB: A rich database for audio-visual emotion and sentiment research in the wild J Kossaifi, R Walecki, Y Panagakis, J Shen, M Schmitt, F Ringeval, J Han, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019	83	2019
Deep scalogram representations for acoustic scene classification Z Ren, K Qian, Z Zhang, V Pandit, A Baird, B Schuller IEEE/CAA Journal of Automatica Sinica 5 (3), 662-669, 2018	78	2018
Classification of the excitation location of snore sounds in the upper airway by acoustic multifeature analysis K Qian, C Janott, V Pandit, Z Zhang, C Heiser, W Hohenhorst, M Herzog, ... IEEE Transactions on Biomedical Engineering 64 (8), 1731-1741, 2016	60	2016
Classification of melodic motifs in raga music with time-series matching P Rao, JC Ross, KK Ganguli, V Pandit, V Ishwar, A Bellur, HA Murthy Journal of New Music Research 43 (1), 115-131, 2014	54	2014
Deep sequential image features on acoustic scene classification Z Ren, V Pandit, K Qian, Z Yang, Z Zhang, B Schuller Proc. DCASE Workshop, Munich, Germany, 113-117, 2017	41	2017
A bag-of-audio-words approach for snore sounds' excitation localisation M Schmitt, C Janott, V Pandit, K Qian, C Heiser, W Hemmert, B Schuller Speech Communication; 12. ITG Symposium, 1-5, 2016	40	2016
Learning Image-based Representations for Heart Sound Classification Z Ren, N Cummins, V Pandit, J Han, K Qian, B Schuller Proceedings of the 2018 International Conference on Digital Health, 143-147, 2018	33	2018
Snoring classified: The Munich-Passau Snore Sound Corpus C Janott, M Schmitt, Y Zhang, K Qian, V Pandit, Z Zhang, C Heiser, ... Computers in biology and medicine 94, 106-118, 2018	32	2018
Wavelets revisited for the classification of acoustic scenes K Qian, Z Ren, V Pandit, Z Yang, Z Zhang, B Schuller Proc. DCASE Workshop, Munich, Germany, 108-112, 2017	31	2017
The University of Passau Open Emotion Recognition System for the Multimodal Emotion Challenge J Deng, N Cummins, J Han, X Xu, Z Ren, V Pandit, Z Zhang, B Schuller Chinese Conference on Pattern Recognition, 652-666, 2016	27	2016
Enhancing LSTM RNN-Based Speech Overlap Detection by Artificially Mixed Data G Hagerer, V Pandit, F Eyben, B Schuller Audio Engineering Society Conference: 2017 AES International Conference on …, 2017	18	2017
Efficient Melodic Query Based Audio Search for Hindustani Vocal Compositions. KK Ganguli, A Rastogi, V Pandit, P Kantan, P Rao ISMIR, 591-597, 2015	10	2015
The many-to-many mapping between concordance correlation coefficient and mean square error V Pandit, B Schuller arXiv preprint arXiv:1902.05180, 2019	9	2019
Humans inside: cooperative big multimedia data mining S Amiriparian, M Schmitt, S Hantke, V Pandit, B Schuller Innovations in Big Data Mining and Embedded Knowledge, 235-257, 2019	5	2019
Tracking Authentic and In-the-wild Emotions using Speech V Pandit, ... Proceedings of the first Asian Conference on Affective Computing and …, 0	4*
I see it in your eyes: Training the shallowest-possible CNN to recognise emotions and pain from muted web-assisted in-the-wild video-chats in real-time V Pandit, M Schmitt, N Cummins, B Schuller Information Processing & Management 57 (6), 102347, 2020	3	2020
Big data multimedia mining: feature extraction facing volume, velocity, and variety V Pandit, S Amiriparian, M Schmitt, A Mousa, B Schuller Big Data Analytics for Large-Scale Multimedia Search 61, 2019	3	2019
Melodic motivic analysis of indian music P Rao, JC Ross, KK Ganguli, V Pandit, V Ishwar, A Bellur, HA Murthy Journal of New Music Research 43 (1), 115-131, 2014	3	2014
I Know How you Feel Now, and Here's why!: Demystifying Time-Continuous High Resolution Text-Based Affect Predictions in the Wild V Pandit, M Schmitt, N Cummins, B Schuller 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems …, 2019	2	2019
How Good Is Your Model ‘Really’? On ‘Wildness’ of the In-the-Wild Speech-Based Affect Recognisers V Pandit, M Schmitt, N Cummins, F Graf, L Paletta, B Schuller International Conference on Speech and Computer, 490-500, 2018	2	2018

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